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2014 Data Visualization Contest

by Starr Hoffman on
2014/01/29

We are excited to announce the 2nd annual Data Visualization Contest for the Journalism Library! Submit your data visualizations to journalism@library.columbia.edu by 5pm on Monday, May 5th to be included. (Only CU Journalism students are eligible for this contest.)

The winning entry will be printed as a poster and displayed with your name (and the project URL, where applicable) in the Journalism Library. The winner will also receive a $25 Starbucks giftcard, have your project showcased on the Libraries’ Digital Center Projects webpage, and the opportunity to archive your work in Columbia University Libraries’ Academic Commons. This is not only a chance to get your work reviewed by a panel of faculty and library experts; it’s also an opportunity for greater exposure for your work. Last year’s winner, Jefferson Mok, went on to have his project picked up by CNN!

Contest Rules:

Submissions must use publicly available data. (“Data” is broadly defined and can include video, audio, photo.)

Submissions must be received no later than 5pm on May 5th.

You may use previously submitted class work!

Submissions may be in any file format, including URLs and other dynamic/interactive digital projects (a static image or screenshot will be required for the poster in the J-Library).

Please do not use your name in the filename. Instead, in your submission email include the following: your full name, graduation year, a title for your creation, and the data source(s) used.

All submissions will be judged based on accurate use of data and originality in aesthetic presentation; panel of judges includes Journalism Librarian, Starr Hoffman; Data Services Coordinator, Ashley Jester; and J-School Professor, Susan McGregor.

The winner will be announced at the J-School Innovation Showcase before graduation. Please email journalism@library.columbia.edu with any questions. We look forward to your submissions; good luck!

About Starr Hoffman

Starr Hoffman is the Journalism and Digital Resources Librarian at Columbia University. Her primary activities include reference, instruction, support for data-intensive research, collection development, and social media outreach. Starr has a PhD in Higher Education, a MS in Library Science, and a MA in Art History. She is addicted to lifelong learning, coffee, travel, museums, scifi of questionable taste, and interesting shoes. Starr’s publications, experience, and blog can be found on her ePortfolio: http://geekyartistlibrarian.wordpress.com/